6 datasets found

MAG240M is a heterogeneous academic graph extracted from the Microsoft Academic Graph (MAG).

The dataset used in the paper is heterogeneous graphs, including ACM citation network and IMDB movie network.

Heterogeneous graph convolution approach for learning node representation on heterogeneous graphs with a hybrid micro/macro level convolutional operation.

OGB-MAG is a large-scale dataset used for node classification and link prediction.

DBLP, IMDB, ACM, and Freebase are four public datasets used for node classification and link prediction.

The dataset used in the paper is a heterogeneous graph, which is a graph that contains multiple types of nodes and edges. The dataset is used for semi-supervised graph learning...